#social networks #Human Dynamics #Big Data

The dynamic character of our networked society

We live in a networked society and our actions, opinions, behaviors are affected and can affect other people. Understanding such social networked structures is one of the key challenges in our attempt to decode human behavior and its impact in our society. Although human interactions are dynamical by nature, most of our understanding relies in static representations of those social networks. However, social interactions are rarely static. Very often the networks evolve by means of processes that happen at diverse time scales, like link decay/formation, group formation, etc. ...

#Twitter #R #Social Networks

Growing old in Twitter

I started using Twitter more than 10 years ago (!). I open an account in this social network in 2008 and although I was not using it too much for the first year, I become a frequent user after that. It has helped me to get news, information both for my personal and professional interests. But not only that, Twitter has been also the data source for our research, that helped us to investigate the relationship between human behavior in the social platform and paramount problems in our society as information propagation, unemployment, disaster damage, political opinion. ...

#Social Networks #Prediction algorithms #Privacy

Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network

Authors: Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P Michalak, Talal Rahwan Journal: Preprint (2018). arXiv Abstract: Link prediction is one of the fundamental research problems in network analysis. Intuitively, it involves identifying the edges that are most likely to be added to a given network, or the edges that appear to be missing from the network when in fact they are present. Various algorithms have been proposed to solve this problem over the past decades. ...

#Temporal Networks #Social Networks #Mobile Phone Data

Temporal patterns behind the strength of persistent ties

Authors: Henry Navarro, Giovanna Miritello, Arturo Canales, Esteban Moro Journal: EPJ Data Science (2017) 6:31 LINK Abstract: Social networks are made out of strong and weak ties having very different structural and dynamical properties. But what features of human interaction build a strong tie? Here we approach this question from a practical way by finding what are the properties of social interactions that make ties more persistent and thus stronger to maintain social interactions in the future. ...

#Twitter #Social Networks

El romance entre Twitter y la ciencia

Nice article (in Spanish) in Yorokobu magazine about the use of Twitter in science, highlighting our work on the use of social media for rapid assessment of natural disaster management El romance entre Twitter y la ciencia «Twitter y las otras redes sociales están entre los más grandes archivos de actividad humana existentes y, al contrario que con las encuestas, ahora tenemos la posibilidad de analizar millones de mensajes, opiniones e interacciones de personas en diferentes contextos como la política, economía o el ocio», explica el matemático Esteban Moro, investigador en la Carlos III de Madrid. ...